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DSPy: The framework for programming — not prompting — foundation models.

Python-based inferential statistics, hypothesis testing and regression framework.

SuperAGI - A dev-first open source autonomous AI agent framework.

A neuro-symbolic framework for building applications with LLMs at the core.

Open-source machine learning framework by Google.

A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools.

The MIT AI Risk Initiative produces authoritative data and frameworks to help you identify, prioritize, and manage the risks from AI.

Uniform deep learning inference framework for mobile, desktop and server.

A fast and lightweight framework for creating decentralized agents with ease.

Reliable agent framework that supports MCP.

Vectara-agentic is a framework for creating AI Assistants and agents using Vectara.

Vision Agent is a library that helps you utilize agent frameworks to generate code to solve your vision task.

A comprehensive testing and evaluation framework for voice agents across language models, prompts, and agent personas.

A TypeScript framework for building and running AI agents with tools, memory, and visibility.

Open source framework for debugging LLM agents and RAG pipelines with a 16-mode ProblemMap and practical triage checklists.

A Python Framework for Wind Energy Analysis and Prediction.

Lightweight autonomous agent framework.